Manager, Data Science - Consumer and Developer Experience (Remote-Eligible)

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description At Capital One, we are relentless innovators with a proven track record of transforming customers’ experiences and the financial services industry. We’re delivering best-in-class innovation so that our more than 100 million customers can manage their finances with ease.

We consider ourselves the bank a technology company would build – empowered to use artificial intelligence (from machine learning to generative AI) to transform everyday banking into real-time, intelligent products that help customers improve their financial well-being. We’re all-in on the cloud and are a leader in the adoption of open source. We build our own products and release them with a speed and agility that allows us to get new customer experiences to market quickly. We’re going boldly where no bank has gone before. And, as a founder-led company, we are centered in our mission to help customers succeed.

The Role | General Responsibilities: We’re seeking a Data Science Manager to support strategic priorities for Consumer and Developer Experience (CDX) leaders, as part of CDX’s product strategy team. CDX is an exciting space with diverse product responsibilities. The organization’s remit spans customer digital engagement, including the Capital One app; Capital One’s marketing platform, analytics, and personalization engine; the product suite used to manage all Capital One suppliers and vendors; products associated with the company’s risk management responsibilities; and more.

CDX’s product strategy team is a blend of strategy, product, and data science. We tackle the organization’s hardest strategic and analytical questions, delivering answers that fundamentally change the way we do business. We also act as an innovation lab, developing prototypes and partnering closely with product and engineering teams to translate conceptual visions into tangible, scaled digital experiences. We are looking for someone who thrives in this duality – someone who is equally energized by big-picture questions about where the world is going, thorny problems that require a strategic mindset and deep analytical rigor, and hands-on building.

In this role, you will:

• Partner with a cross-functional team of software engineers, business analysts, and product managers to ensure we are delivering products customers love that move the needle for the business
• Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data
• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
• Flex your interpersonal skills to translate the complexity of your work into tangible business goals

The Ideal Candidate is:

• Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
• Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
• Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
• Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. …